Validating database

12-Mar-2015 20:58 by 2 Comments

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Once the package passes validation, you can install the sample package by clicking on the MNP2000icon or from the command line using the Command Line Options. In computer science, data validation is the process of ensuring that a program operates on clean, correct and useful data.

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The rules may be implemented through the automated facilities of a data dictionary, or by the inclusion of explicit application program validation logic.

Data validation is intended to provide certain well-defined guarantees for fitness, accuracy, and consistency for any of various kinds of user input into an application or automated system.

Data validation rules can be defined and designed using any of various methodologies, and be deployed in any of various contexts.

Data validation rules may be defined, designed and deployed, for example: Definition and design contexts: Data that does not conform to these rules will negatively affect business process execution.

Authors of installation packages should always run validation on their packages before attempting to install the package for the first time and rerun validation whenever making any changes to the package.

Validation scans the database for errors that may appear valid individually but that cause incorrect behavior in the context of the whole database.

Attempting to install a package that fails validation can damage the user's system.

See the sections Package Validation and Internal Consistency Evaluators - ICEs.

You can validate the sample package using or Msival2

To view the help for Msival2change directories and enter on the command line. The file contains the ICE custom actions needed by Msival2to perform validation.

To validate the MNP2000enter msival2 MNP2000For a description of the error and warning messages returned by validation see the ICE Reference.

Correct all the errors in the package and rerun validation as necessary until the package passes validation without errors.